Hong-Bin Shen - RankMe

127 papers A* 1Misc 2Journal 109Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SMENET: A Multi-View Semantic Model for Multi-Level Enzyme Function Prediction. IEEE Trans. Comput. Biol. Bioinform. Hanwen Zhou, Wei Zhang, Zhaohong Deng, Guanjin Wang, Zhisheng Wei, Lei Wang, Xiaoyong Pan, Hong-Bin Shen, Dong-Jun Yu, Jing Wu
2025	J	`jnl`	CATransUnetLBP: Accurate Prediction of Protein-Ligand Binding Pockets Using a Hybrid Network. IEEE Trans. Comput. Biol. Bioinform. Cheng Cai, Zhaohong Deng, Andong Li, Yun Zuo, Haoran Chen, Zhisheng Wei, Lei Wang, Xiaoyong Pan, Hong-Bin Shen, Dong-Jun Yu
2025	J	`jnl`	DMMAFS: Protein Function Prediction Based on Multi-Modal Multi-Attention Fusion Features. IEEE Trans. Comput. Biol. Bioinform. Liangwen He, Zhaohong Deng, Fuping Hu, Zhongyu Wang, Yun Zuo, Lin Zhu, Haoran Chen, Xiaoyong Pan, Zhisheng Wei, Lei Wang, Hong-Bin Shen, Dong-Jun Yu, Jing Wu
2025	J	`jnl`	Discovering the nuclear localization signal universe through a deep learning model with interpretable attention units. Patterns Yi-Fan Li, Xiaoyong Pan, Hong-Bin Shen
2025	J	`jnl`	FishAI 2.0: Marine Fish Image Classification with Multi-modal Few-shot Learning. CoRR Chenghan Yang, Peng Zhou, Dong-Sheng Zhang, Yueyun Wang, Hong-Bin Shen, Xiaoyong Pan
2025	J	`jnl`	Predicting transcriptional changes induced by molecules with MiTCP. Briefings Bioinform. Kaiyuan Yang, Jiabei Cheng, Shenghao Cao, Xiaoyong Pan, Hong-Bin Shen, Ye Yuan
2025	J	`jnl`	m2ST: dual multi-scale graph clustering for spatially resolved transcriptomics. Bioinform. Wei Zhang, Ziqi Zhang, Hailong Yang, Te Zhang, Shu Jiang, Ning Qiao, Zhaohong Deng, Xiaoyong Pan, Hong-Bin Shen, Dong-Jun Yu, Shitong Wang
2024	J	`jnl`	Cross-modal de-deviation for enhancing few-shot classification. Pattern Recognit. Meihong Pan, Hong-Bin Shen
2024	J	`jnl`	Decoding protein binding landscape on circular RNAs with base-resolution transformer models. Comput. Biol. Medicine Hehe Wu, Xiaojian Liu, Yi Fang, Yang Yang, Yan Huang, Xiaoyong Pan, Hong-Bin Shen
2024	J	`jnl`	MINDG: a drug-target interaction prediction method based on an integrated learning algorithm. Bioinform. Hailong Yang, Yue Chen, Yun Zuo, Zhaohong Deng, Xiaoyong Pan, Hong-Bin Shen, Kup-Sze Choi, Dong-Jun Yu
2024	J	`jnl`	ProtDAT: A Unified Framework for Protein Sequence Design from Any Protein Text Description. CoRR Xiao-Yu Guo, Yi-Fan Li, Yuan Liu, Xiaoyong Pan, Hong-Bin Shen
2024	J	`jnl`	Semantic-Based Implicit Feature Transform for Few-Shot Classification. Int. J. Comput. Vis. Meihong Pan, Hongyi Xin, Hong-Bin Shen
2023	J	`jnl`	Few-shot classification with task-adaptive semantic feature learning. Pattern Recognit. Meihong Pan, Hongyi Xin, Chun-Qiu Xia, Hong-Bin Shen
2023	J	`jnl`	High-accuracy protein model quality assessment using attention graph neural networks. Briefings Bioinform. Pei-Dong Zhang, Chun-Qiu Xia, Hong-Bin Shen
2023	—	`conf`	Isoform Function Prediction Based on Heterogeneous Graph Attention Networks. BIBM Kuo Guo, Yifan Li, Hao Chen, Hong-Bin Shen, Yang Yang
2023	J	`jnl`	Leveraging scaffold information to predict protein-ligand binding affinity with an empirical graph neural network. Briefings Bioinform. Chun-Qiu Xia, Shi-Hao Feng, Ying Xia, Xiaoyong Pan, Hong-Bin Shen
2023	J	`jnl`	MLNGCF: circRNA-disease associations prediction with multilayer attention neural graph-based collaborative filtering. Bioinform. Qunzhuo Wu, Zhaohong Deng, Wei Zhang, Xiaoyong Pan, Kup-Sze Choi, Yun Zuo, Hong-Bin Shen, Dong-Jun Yu
2022	J	`jnl`	Ab-Initio Membrane Protein Amphipathic Helix Structure Prediction Using Deep Neural Networks. IEEE ACM Trans. Comput. Biol. Bioinform. Shi-Hao Feng, Chun-Qiu Xia, Pei-Dong Zhang, Hong-Bin Shen
2022	J	`jnl`	Accurate flexible refinement for atomic-level protein structure using cryo-EM density maps and deep learning. Briefings Bioinform. Biao Zhang, Dong Liu, Yang Zhang, Hong-Bin Shen, Gui-Jun Zhang
2022	J	`jnl`	Accurate inference of gene regulatory interactions from spatial gene expression with deep contrastive learning. Bioinform. Lujing Zheng, Zhenhuan Liu, Yang Yang, Hong-Bin Shen
2022	J	`jnl`	Cell clustering for spatial transcriptomics data with graph neural networks. Nat. Comput. Sci. Jiachen Li, Siheng Chen, Xiaoyong Pan, Ye Yuan, Hong-Bin Shen
2022	J	`jnl`	CoCoPRED: coiled-coil protein structural feature prediction from amino acid sequence using deep neural networks. Bioinform. Shi-Hao Feng, Chun-Qiu Xia, Hong-Bin Shen
2022	J	`jnl`	Fast protein structure comparison through effective representation learning with contrastive graph neural networks. PLoS Comput. Biol. Chun-Qiu Xia, Shi-Hao Feng, Ying Xia, Xiaoyong Pan, Hong-Bin Shen
2022	J	`jnl`	GraphLoc: a graph neural network model for predicting protein subcellular localization from immunohistochemistry images. Bioinform. Jin-Xian Hu, Yang Yang, Ying-Ying Xu, Hong-Bin Shen
2022	J	`jnl`	Improving segmentation and classification of renal tumors in small sample 3D CT images using transfer learning with convolutional neural networks. Int. J. Comput. Assist. Radiol. Surg. Xi-Liang Zhu, Hong-Bin Shen, Haitao Sun, Li-Xia Duan, Ying-Ying Xu
2022	J	`jnl`	Learning protein subcellular localization multi-view patterns from heterogeneous data of imaging, sequence and networks. Briefings Bioinform. Ge Wang, Min-Qi Xue, Hong-Bin Shen, Ying-Ying Xu
2022	J	`jnl`	MDGF-MCEC: a multi-view dual attention embedding model with cooperative ensemble learning for CircRNA-disease association prediction. Briefings Bioinform. Qunzhuo Wu, Zhaohong Deng, Xiaoyong Pan, Hong-Bin Shen, Kup-Sze Choi, Shitong Wang, Jing Wu, Dong-Jun Yu
2022	J	`jnl`	Recent Deep Learning Methodology Development for RNA-RNA Interaction Prediction. Symmetry Yi Fang, Xiaoyong Pan, Hong-Bin Shen
2022	J	`jnl`	Robust Multi-Label Relief Feature Selection Based on Fuzzy Margin Co-Optimization. IEEE Trans. Emerg. Top. Comput. Intell. Qiongdan Lou, Zhaohong Deng, Kup-Sze Choi, Hong-Bin Shen, Jun Wang, Shitong Wang
2022	J	`jnl`	SIFLoc: a self-supervised pre-training method for enhancing the recognition of protein subcellular localization in immunofluorescence microscopic images. Briefings Bioinform. Yanlun Tu, Houchao Lei, Hong-Bin Shen, Yang Yang
2022	J	`jnl`	Symbolic Expression Transformer: A Computer Vision Approach for Symbolic Regression. CoRR Jiachen Li, Ye Yuan, Hong-Bin Shen
2022	J	`jnl`	Transductive Multiview Modeling With Interpretable Rules, Matrix Factorization, and Cooperative Learning. IEEE Trans. Cybern. Wei Zhang, Zhaohong Deng, Jun Wang, Kup-Sze Choi, Te Zhang, Xiaoqing Luo, Hong-Bin Shen, Wenhao Ying, Shitong Wang
2022	J	`jnl`	Unsupervised Difference Learning for Noisy Rigid Image Alignment. CoRR Yu-Xuan Chen, Dagan Feng, Hong-Bin Shen
2022	J	`jnl`	circRNA-binding protein site prediction based on multi-view deep learning, subspace learning and multi-view classifier. Briefings Bioinform. Hui Li, Zhaohong Deng, Haitao Yang, Xiaoyong Pan, Zhisheng Wei, Hong-Bin Shen, Kup-Sze Choi, Lei Wang, Shitong Wang, Jing Wu
2021	J	`jnl`	A Novel TSK Fuzzy System Incorporating Multi-view Collaborative Transfer Learning for Personalized Epileptic EEG Detection. CoRR Andong Li, Zhaohong Deng, Qiongdan Lou, Kup-Sze Choi, Hong-Bin Shen, Shitong Wang
2021	J	`jnl`	Fast Cryo-EM Image Alignment Algorithm Using Power Spectrum Features. J. Chem. Inf. Model. Yu-Xuan Chen, Rui Xie, Yang Yang, Lin He, Dagan Feng, Hong-Bin Shen
2021	J	`jnl`	FlyIT: Drosophila Embryogenesis Image Annotation based on Image Tiling and Convolutional Neural Networks. IEEE ACM Trans. Comput. Biol. Bioinform. Wei Long, Tiange Li, Yang Yang, Hong-Bin Shen
2021	J	`jnl`	RNA-binding protein recognition based on multi-view deep feature and multi-label learning. Briefings Bioinform. Haitao Yang, Zhaohong Deng, Xiaoyong Pan, Hong-Bin Shen, Kup-Sze Choi, Lei Wang, Shitong Wang, Jing Wu
2021	J	`jnl`	Recognizing binding sites of poorly characterized RNA-binding proteins on circular RNAs using attention Siamese network. Briefings Bioinform. Hehe Wu, Xiaoyong Pan, Yang Yang, Hong-Bin Shen
2021	J	`jnl`	ToxDL: deep learning using primary structure and domain embeddings for assessing protein toxicity. Bioinform. Xiaoyong Pan, Jasper Zuallaert, Xi Wang, Hong-Bin Shen, Elda Posada Campos, Denys O. Marushchak, Wesley De Neve
2021	J	`jnl`	lncLocator 2.0: a cell-line-specific subcellular localization predictor for long non-coding RNAs with interpretable deep learning. Bioinform. Yang Lin, Xiaoyong Pan, Hong-Bin Shen
2020	J	`jnl`	Artificial intelligence-based multi-objective optimization protocol for protein structure refinement. Bioinform. Di Wang, Ling Geng, Yu-Jun Zhao, Yang Yang, Yan Huang, Yang Zhang, Hong-Bin Shen
2020	J	`jnl`	ImPLoc: a multi-instance deep learning model for the prediction of protein subcellular localization based on immunohistochemistry images. Bioinform. Wei Long, Yang Yang, Hong-Bin Shen
2020	J	`jnl`	Learning complex subcellular distribution patterns of proteins via analysis of immunohistochemistry images. Bioinform. Ying-Ying Xu, Hong-Bin Shen, Robert F. Murphy
2020	—	`conf`	NiuEM: A Nested-iterative Unsupervised Learning Model for Single-particle Cryo-EM Image Processing. BIBM Rui Hu, Jia-Ming Cai, Wangjie Zheng, Yang Yang, Hong-Bin Shen
2020	J	`jnl`	Protein-ligand binding residue prediction enhancement through hybrid deep heterogeneous learning of sequence and structure data. Bioinform. Chun-Qiu Xia, Xiaoyong Pan, Hong-Bin Shen
2020	J	`jnl`	SPREAD: A Fully Automated Toolkit for Single-Particle Cryogenic Electron Microscopy Data 3D Reconstruction with Image-Network-Aided Orientation Assignment. J. Chem. Inf. Model. Rui Xie, Yu-Xuan Chen, Jia-Ming Cai, Yang Yang, Hong-Bin Shen
2020	J	`jnl`	Scoring disease-microRNA associations by integrating disease hierarchy into graph convolutional networks. Pattern Recognit. Xiaoyong Pan, Hong-Bin Shen
2020	J	`jnl`	Signal-3L 3.0: Improving Signal Peptide Prediction through Combining Attention Deep Learning with Window-Based Scoring. J. Chem. Inf. Model. Wei-Xun Zhang, Xiaoyong Pan, Hong-Bin Shen
2019	J	`jnl`	AnnoFly: annotating Drosophila embryonic images based on an attention-enhanced RNN model. Bioinform. Yang Yang, Mingyu Zhou, Qingwei Fang, Hong-Bin Shen
2019	J	`jnl`	Clustering Enhancement of Noisy Cryo-Electron Microscopy Single-Particle Images with a Network Structural Similarity Metric. J. Chem. Inf. Model. Shuo Yin, Biao Zhang, Yang Yang, Yan Huang, Hong-Bin Shen
2019	J	`jnl`	Identifying RNA-binding proteins using multi-label deep learning. Sci. China Inf. Sci. Xiaoyong Pan, Yong-Xian Fan, Jue Jia, Hong-Bin Shen
2019	J	`jnl`	Predicting gene regulatory interactions based on spatial gene expression data and deep learning. PLoS Comput. Biol. Yang Yang, Qingwei Fang, Hong-Bin Shen
2018	J	`jnl`	An Organelle Correlation-Guided Feature Selection Approach for Classifying Multi-Label Subcellular Bio-Images. IEEE ACM Trans. Comput. Biol. Bioinform. Wei Shao, Mingxia Liu, Ying-Ying Xu, Hong-Bin Shen, Daoqiang Zhang
2018	J	`jnl`	Bioimage-based protein subcellular location prediction: a comprehensive review. Frontiers Comput. Sci. Ying-Ying Xu, Li-Xiu Yao, Hong-Bin Shen
2018	J	`jnl`	Detection of Curvilinear Structure in Images by a Multi-Centered Hough Forest Method. IEEE Access Hanjin Zhang, Yang Yang, Hong-Bin Shen
2018	—	`conf`	HMIML: Hierarchical Multi-Instance Multi-Label Learning of Drosophila Embryogenesis Images Using Convolutional Neural Networks. BIBM Tiange Li, Yang Yang, Hong-Bin Shen
2018	J	`jnl`	High density cell tracking with accurate centroid detections and active area-based tracklet clustering. Neurocomputing Xu-Hao Zhi, Shu Meng, Hong-Bin Shen
2018	—	`conf`	IterVM: An Iterative Model for Single-Particle Cryo-EM Image Clustering Based on Variational Autoencoder and Multi-Reference Alignment. BIBM Guowei Ji, Yang Yang, Hong-Bin Shen
2018	J	`jnl`	Learning distributed representations of RNA sequences and its application for predicting RNA-protein binding sites with a convolutional neural network. Neurocomputing Xiaoyong Pan, Hong-Bin Shen
2018	J	`jnl`	Line Junction Detection Without Prior-Delineation of Curvilinear Structure in Biomedical Images. IEEE Access Hanjin Zhang, Yang Yang, Hong-Bin Shen
2018	J	`jnl`	MemBrain-contact 2.0: a new two-stage machine learning model for the prediction enhancement of transmembrane protein residue contacts in the full chain. Bioinform. Jing Yang, Hong-Bin Shen
2018	J	`jnl`	MiRGOFS: a GO-based functional similarity measurement for miRNAs, with applications to the prediction of miRNA subcellular localization and miRNA-disease association. Bioinform. Yang Yang, Xiaofeng Fu, Wenhao Qu, Yiqun Xiao, Hong-Bin Shen
2018	J	`jnl`	Predicting RNA-protein binding sites and motifs through combining local and global deep convolutional neural networks. Bioinform. Xiaoyong Pan, Hong-Bin Shen
2018	A*	`conf`	Prediction of MicroRNA Subcellular Localization by Using a Sequence-to-Sequence Model. ICDM Yiqun Xiao, Jiaxun Cai, Yang Yang, Hai Zhao, Hong-Bin Shen
2018	J	`jnl`	Resolution Measurement from a Single Reconstructed Cryo-EM Density Map with Multiscale Spectral Analysis. J. Chem. Inf. Model. Yu-Jiao Yang, Shuai Wang, Biao Zhang, Hong-Bin Shen
2018	J	`jnl`	Saliency driven region-edge-based top down level set evolution reveals the asynchronous focus in image segmentation. Pattern Recognit. Xu-Hao Zhi, Hong-Bin Shen
2018	J	`jnl`	The lncLocator: a subcellular localization predictor for long non-coding RNAs based on a stacked ensemble classifier. Bioinform. Zhen Cao, Xiaoyong Pan, Yang Yang, Yan Huang, Hong-Bin Shen
2017	J	`jnl`	A Nonhomogeneous Cuckoo Search Algorithm Based on Quantum Mechanism for Real Parameter Optimization. IEEE Trans. Cybern. Ngaam J. Cheung, Xueming Ding, Hong-Bin Shen
2017	—	`conf`	A protein structure refinement method using bi-objective particle swarm optimization algorithm. CISP-BMEI Ling Geng, Hong-Bin Shen
2017	—	`conf`	Deep Learning-Based Classification of Protein Subcellular Localization from Immunohistochemistry Images. ACPR Jin-Xian Hu, Ying-Ying Xu, Yang Yang, Hong-Bin Shen
2017	J	`jnl`	Deep model-based feature extraction for predicting protein subcellular localizations from bio-images. Frontiers Comput. Sci. Wei Shao, Yi Ding, Hong-Bin Shen, Daoqiang Zhang
2017	—	`conf`	Detection of Curvilinear Centerline by Using Hough Voting. ACPR Hanjin Zhang, Yang Yang, Hong-Bin Shen
2017	J	`jnl`	Hum-mPLoc 3.0: prediction enhancement of human protein subcellular localization through modeling the hidden correlations of gene ontology and functional domain features. Bioinform. Hang Zhou, Yang Yang, Hong-Bin Shen
2017	J	`jnl`	NeBcon: protein contact map prediction using neural network training coupled with naïve Bayes classifiers. Bioinform. Baoji He, S. M. Mortuza, Yanting Wang, Hong-Bin Shen, Yang Zhang
2017	J	`jnl`	Predicting Protein-DNA Binding Residues by Weightedly Combining Sequence-Based Features and Boosting Multiple SVMs. IEEE ACM Trans. Comput. Biol. Bioinform. Jun Hu, Yang Li, Ming Zhang, Xibei Yang, Hong-Bin Shen, Dong-Jun Yu
2017	J	`jnl`	RNA-protein binding motifs mining with a new hybrid deep learning based cross-domain knowledge integration approach. BMC Bioinform. Xiaoyong Pan, Hong-Bin Shen
2017	—	`conf`	Resolution determination method of a cryo-EM density map based on multi-scale spectral signal to noise analysis. CISP-BMEI Yu-Jiao Yang, Hong-Bin Shen
2017	J	`jnl`	Signal-3L 2.0: A Hierarchical Mixture Model for Enhancing Protein Signal Peptide Prediction by Incorporating Residue-Domain Cross-Level Features. J. Chem. Inf. Model. Yi-Ze Zhang, Hong-Bin Shen
2016	—	`conf`	A New Subcellular Localization Predictor for Human Proteins Considering the Correlation of Annotation Features and Protein Multi-localization. CCPR (2) Hang Zhou, Yang Yang, Hong-Bin Shen
2016	J	`jnl`	A Non-homogeneous Firefly Algorithm and Its Convergence Analysis. J. Optim. Theory Appl. Ngaam J. Cheung, Xueming Ding, Hong-Bin Shen
2016	J	`jnl`	Enhancing the Prediction of Transmembrane β-Barrel Segments with Chain Learning and Feature Sparse Representation. IEEE ACM Trans. Comput. Biol. Bioinform. Xi Yin, Ying-Ying Xu, Hong-Bin Shen
2016	J	`jnl`	GPCR-drug interactions prediction using random forest with drug-association-matrix-based post-processing procedure. Comput. Biol. Chem. Jun Hu, Yang Li, Jing-Yu Yang, Hong-Bin Shen, Dong-Jun Yu
2016	—	`conf`	Improve signal peptide prediction by using functional domain information. CISP-BMEI Yi-Ze Zhang, Hong-Bin Shen
2016	J	`jnl`	Incorporating organelle correlations into semi-supervised learning for protein subcellular localization prediction. Bioinform. Ying-Ying Xu, Fan Yang, Hong-Bin Shen
2016	J	`jnl`	KNN-based dynamic query-driven sample rescaling strategy for class imbalance learning. Neurocomputing Jun Hu, Yang Li, Wuxia Yan, Jing-Yu Yang, Hong-Bin Shen, Dong-Jun Yu
2016	J	`jnl`	Protein folds recognized by an intelligent predictor based-on evolutionary and structural information. J. Comput. Chem. Ngaam J. Cheung, Xueming Ding, Hong-Bin Shen
2016	J	`jnl`	Protein-protein interaction sites prediction by ensembling SVM and sample-weighted random forests. Neurocomputing Zhisen Wei, Ke Han, Jing-Yu Yang, Hong-Bin Shen, Dong-Jun Yu
2016	J	`jnl`	R Bioinform. Jing Yang, Qi-Yu Jin, Biao Zhang, Hong-Bin Shen
2015	J	`jnl`	A supervised particle swarm algorithm for real-parameter optimization. Appl. Intell. Ngaam J. Cheung, Xueming Ding, Hong-Bin Shen
2015	J	`jnl`	Accurate disulfide-bonding network predictions improve Bioinform. Jing Yang, Bao-Ji He, Richard Jang, Yang Zhang, Hong-Bin Shen
2015	J	`jnl`	Bioimaging-based detection of mislocalized proteins in human cancers by semi-supervised learning. Bioinform. Ying-Ying Xu, Fan Yang, Yang Zhang, Hong-Bin Shen
2015	J	`jnl`	Disulfide Connectivity Prediction Based on Modelled Protein 3D Structural Information and Random Forest Regression. IEEE ACM Trans. Comput. Biol. Bioinform. Dong-Jun Yu, Yang Li, Jun Hu, Xibei Yang, Jing-Yu Yang, Hong-Bin Shen
2015	J	`jnl`	MACOED: a multi-objective ant colony optimization algorithm for SNP epistasis detection in genome-wide association studies. Bioinform. Peng-Jie Jing, Hong-Bin Shen
2015	J	`jnl`	Modeling nonlinear dynamic biological systems with human-readable fuzzy rules optimized by convergent heterogeneous particle swarm. Eur. J. Oper. Res. Ngaam J. Cheung, Zhenkai Xu, Xueming Ding, Hong-Bin Shen
2015	J	`jnl`	Prediction Enhancement of Residue Real-Value Relative Accessible Surface Area in Transmembrane Helical Proteins by Solving the Output Preference Problem of Machine Learning-Based Predictors. J. Chem. Inf. Model. Feng Xiao, Hong-Bin Shen
2014	—	`conf`	A Global Eigenvalue-Driven Balanced Deconvolution Approach for Network Direct-Coupling Analysis. CCPR (2) Hai-Ping Sun, Hong-Bin Shen
2014	—	`conf`	A Novel Two-Stage Multi-objective Ant Colony Optimization Approach for Epistasis Learning. CCPR (2) Peng-Jie Jing, Hong-Bin Shen
2014	J	`jnl`	Enhancing protein-vitamin binding residues prediction by multiple heterogeneous subspace SVMs ensemble. BMC Bioinform. Dong-Jun Yu, Jun Hu, Hui Yan, Xibei Yang, Jing-Yu Yang, Hong-Bin Shen
2014	J	`jnl`	Image-based classification of protein subcellular location patterns in human reproductive tissue by ensemble learning global and local features. Neurocomputing Fan Yang, Ying-Ying Xu, Shitong Wang, Hong-Bin Shen
2014	J	`jnl`	OptiFel: A Convergent Heterogeneous Particle Swarm Optimization Algorithm for Takagi-Sugeno Fuzzy Modeling. IEEE Trans. Fuzzy Syst. Ngaam J. Cheung, Xueming Ding, Hong-Bin Shen
2014	J	`jnl`	Predicting pupylation sites in prokaryotic proteins using pseudo-amino acid composition and extreme learning machine. Neurocomputing Yong-Xian Fan, Hong-Bin Shen
2014	—	`conf`	Sequence-Based Prediction of Protein-Protein Binding Residues in Alpha-Helical Membrane Proteins. CCPR (2) Feng Xiao, Hong-Bin Shen
2013	J	`jnl`	An image-based multi-label human protein subcellular localization predictor ( Bioinform. Ying-Ying Xu, Fan Yang, Yang Zhang, Hong-Bin Shen
2013	J	`jnl`	Designing Template-Free Predictor for Targeting Protein-Ligand Binding Sites with Classifier Ensemble and Spatial Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. Dong-Jun Yu, Jun Hu, Jing Yang, Hong-Bin Shen, Jinhui Tang, Jing-Yu Yang
2013	J	`jnl`	GFO: A data driven approach for optimizing the Gaussian function based similarity metric in computational biology. Neurocomputing Jian-Bo Lei, Jiang-Bo Yin, Hong-Bin Shen
2013	J	`jnl`	High-accuracy prediction of transmembrane inter-helix contacts and application to GPCR 3D structure modeling. Bioinform. Jing Yang, Richard Jang, Yang Zhang, Hong-Bin Shen
2013	J	`jnl`	Improving protein-ATP binding residues prediction by boosting SVMs with random under-sampling. Neurocomputing Dong-Jun Yu, Jun Hu, Zhenmin Tang, Hong-Bin Shen, Jian Yang, Jing-Yu Yang
2013	J	`jnl`	TargetATPsite: A template-free method for ATP-binding sites prediction with residue evolution image sparse representation and classifier ensemble. J. Comput. Chem. Dong-Jun Yu, Jun Hu, Yan Huang, Hong-Bin Shen, Yong Qi, Zhenmin Tang, Jing-Yu Yang
2013	J	`jnl`	Translational Bioinformatics and Computational Systems Medicine. Comput. Math. Methods Medicine Bairong Shen, Hong-Bin Shen, Tianhai Tian, Qiang Lü, Guang Hu
2012	—	`conf`	Automated Classification of Protein Subcellular Location Patterns on Images of Human Reproductive Tissues. IScIDE Fan Yang, Ying-Ying Xu, Hong-Bin Shen
2012	J	`jnl`	Predicting protein-ATP binding sites from primary sequence through fusing bi-profile sampling of multi-view features. BMC Bioinform. Ya-Nan Zhang, Dong-Jun Yu, Shu-Sen Li, Yong-Xian Fan, Yan Huang, Hong-Bin Shen
2011	J	`jnl`	Bioinformatic Approaches for Predicting substrates of Proteases. J. Bioinform. Comput. Biol. Jiangning Song, Hao Tan, Sarah E. Boyd, Hong-Bin Shen, Khalid Mahmood, Geoffrey I. Webb, Tatsuya Akutsu, James C. Whisstock, Robert N. Pike
2011	J	`jnl`	Gaussian kernel optimization: Complex problem and a simple solution. Neurocomputing Jiang-Bo Yin, Tao Li, Hong-Bin Shen
2011	J	`jnl`	Large-scale mining co-expressed genes in Arabidopsis anther: From pair to group. Comput. Biol. Chem. Qing-Ju Jiao, Yan Huang, Hong-Bin Shen
2010	J	`jnl`	Cascleave: towards more accurate prediction of caspase substrate cleavage sites. Bioinform. Jiangning Song, Hao Tan, Hong-Bin Shen, Khalid Mahmood, Sarah E. Boyd, Geoffrey I. Webb, Tatsuya Akutsu, James C. Whisstock
2010	J	`jnl`	Improving the accuracy of predicting disulfide connectivity by feature selection. J. Comput. Chem. Lin Zhu, Jie Yang, Jiangning Song, Kuo-Chen Chou, Hong-Bin Shen
2006	Misc	`conf`	A New Scaling Kernel-Based Fuzzy System with Low Computational Complexity. CSR Xiaojun Liu, Jie Yang, Hong-Bin Shen, Xiangyang Wang
2006	J	`jnl`	Attribute weighted mercer kernel based fuzzy clustering algorithm for general non-spherical datasets. Soft Comput. Hong-Bin Shen, Jie Yang, Shitong Wang, Xiaojun Liu
2006	J	`jnl`	Ensemble classifier for protein fold pattern recognition. Bioinform. Hong-Bin Shen, Kuo-Chen Chou
2005	J	`jnl`	Cascaded centralized TSK fuzzy system: universal approximator and high interpretation. Appl. Soft Comput. Shitong Wang, Fu-Lai Chung, Hong-Bin Shen, Dewen Hu
2005	J	`jnl`	Fuzzy taxonomy, quantitative database and mining generalized association rules. Intell. Data Anal. Shitong Wang, Korris Fu-Lai Chung, Hong-Bin Shen
2005	J	`jnl`	Performing clustering analysis on collaborative models. Intell. Data Anal. Hong-Bin Shen, Jie Yang, Ningjiang Chen, Yifei Dong, Shitong Wang
2004	—	`conf`	Fuzzy Taxonomic, Quantitative Database and Mining Generalized Association Rules. Rough Sets and Current Trends in Computing Hong-Bin Shen, Shitong Wang, Jie Yang
2004	J	`jnl`	Note on the relationship between probabilistic and fuzzy clustering. Soft Comput. Korris Fu-Lai Chung, Shitong Wang, Hong-Bin Shen, Ruiqiang Zhu
2004	J	`jnl`	Note on the relationship between probabilistic and fuzzy clustering. Soft Comput. Shitong Wang, Korris Fu-Lai Chung, Hong-Bin Shen, Ruiqiang Zhu
2004	Misc	`conf`	Outlier Detecting in Fuzzy Switching Regression Models. AIMSA Hong-Bin Shen, Jie Yang, Shitong Wang